What a £300, 35W Snapdragon mini PC can actually do 👀: 35B coder at ~30 tok/s, and an 80B model that doesnt even fit in RAM running at 17 tok/s
£299.99 Lenovo IdeaCentre Mini (Snapdragon X1-26-100, 32GB, CPU only):

Proof1 community thread
Key points
- Qwen3.6 35B A3B coder: reads ~118 tok/s, writes 24.5, ~30 with MTP
- So I bought one of these boxes to test if software at work would run on ARM Windows - and then it was sitting there, but I was sufficiently impressed for the price (including taxes), that i decided in my ADHD fuelled boredom to buy one for myself to see if cheap ARM is actually usable for local models.
- The GPU is an Adreno X1-45 and nothing useful runs on it for LLMs yet, and so far the NPU just sits there, so this is all CPU...
- RAM is the wall on 32GB, so I went looking at the recently released Janas (github.com/prabanta-dev/janas).
Sources (1)
- [1]What a £300, 35W Snapdragon mini PC can actually do 👀: 35B coder at ~30 tok/s, and an 80B model that doesnt even fit in RAM running at 17 tok/sr/LocalLLaMA (top, daily) · Oct 15, 06:02 PM
£299.99 Lenovo IdeaCentre Mini (Snapdragon X1-26-100, 32GB, CPU only):
- Qwen3.6 35B A3B coder: reads ~118 tok/s, writes 24.5, ~30 with MTP
Extractive summary: sentences quoted from the sources.
Before this
- Oct 15, 2026ggml-org/llama.cpp v0.7.0
- Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
- Oct 15, 2026StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context
- Oct 15, 2026Welcome FLUX.3 Image Klein in Diffusers
- Oct 14, 2026GPT-Image-style photo editing on your own GPU (12 GB+): I built a zero-setup app for Qwen-Image 2.1 on stable-diffusion.cpp
- Oct 14, 2026mistralai/Timestral-209M